The debate on whether or not automation is a job-cutting strategy has reached fever pitch. While automation is not new to many industries, such as auto, it's occurring at a faster pace now and spreading across many industries.
There are many accounts of the genesis of Watson. The most popular, which is not necessarily the most accurate-and this is the sort of problem that Watson himself often stumbled on-begins in 2004, at a steakhouse near Poughkeepsie. One evening, an I.B.M.
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SITTING IN AN office in San Francisco, Igor Barani calls up some medical scans on his screen. He is the chief executive of Enlitic, one of a host of startups applying deep learning to medicine, starting with the analysis of images such as X-rays and CT scans.
Labor economists have been pointing out the employment consequences of new digital technologies for several years, and the White House report dutifully lays out many of those findings. As it notes, the imminent problem is not that robots will hasten the day when there is no need for human workers.
Automation has been achieved by various means including mechanical, hydraulic, pneumatic, electrical, electronic devices and computers, usually in combination. Complicated systems, such as modern factories, airplanes and ships typically use all these combined techniques.